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Groups > comp.lang.python > #76453
| From | alex23 <wuwei23@gmail.com> |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Re: Topological Overlap |
| Date | 2014-08-18 15:17 +1000 |
| Organization | A noiseless patient Spider |
| Message-ID | <lss28g$ua1$1@dont-email.me> (permalink) |
| References | <CAJsaReS3a=JZKNF725CcmiA2_wzKOxgA4NCjv+U3ZjakZ9mcvQ@mail.gmail.com> <CAGyPVTtTj93xgOUfc3CHrwMO-0VAm_4gYJQt44uOWmqGuzt9gw@mail.gmail.com> <mailman.13052.1408212629.18130.python-list@python.org> |
On 17/08/2014 4:10 AM, lavanya addepalli wrote: > Actually it is a huge project and topological overlap is one part in that > > inputfile: > > 0_node_1 0_node_2 w0 > 1_node_1 1_node_2 w1 > 2_node_1 2_node_2 w2 > 3_node_1 3_node_2 w3 > 4_node_1 4_node_2 w4 > 5_node_1 5_node_2 w5 > > 2 nodes in pair and w is the weight. I have to find the topological > overlap in the network including the weights Have you looked at the library NetworkX? I'd start by loading your data into a weighted graph and working from there: https://networkx.github.io/documentation/latest/examples/drawing/weighted_graph.html
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Re: Topological Overlap lavanya addepalli <phani.lav@gmail.com> - 2014-08-16 20:10 +0200 Re: Topological Overlap alex23 <wuwei23@gmail.com> - 2014-08-18 15:17 +1000
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